Finlex cuts cloud costs 50% and ships production AI with DoiT
- Over 65%
- reduction in cloud infrastructure costs from 2024 - present
- 40%
- cost savings achieved through improved visibility and efficient AI architecture
The global logistics market is estimated to grow to $12.6 billion by 2023, and digitization is opening up new opportunities for reducing costs and redefining business models. Freightos.com aims to be at the center of that change, making global trade frictionless as the world's online marketplace for the trillion-dollar international shipping industry. Founded in 2012, the company has six offices across the United States, Europe, Asia, and the Middle East and works with major retailers such as Marks and Spencer.
Freightos needed to process large volumes of data quickly for its freight marketplace platform. The company wanted to speed up testing and delivery cycles while creating more efficient workflows for international development teams. Their monolithic infrastructure was limiting agility and collaboration across teams in different regions.
Freightos worked with DoiT to migrate to Google Kubernetes Engine, moving from monolithic services to microservices architecture. The solution included App Engine flexible environments for high-speed in-memory data access, plus Compute Engine, Pub/Sub, Dataflow, Cloud SQL, Datastore, BigQuery, and Google Data Studio. They implemented Apigee API Management Platform to expose APIs to freight forwarders.
DoiT has been really great in terms of helping us see where we can be more efficient. We use its reOptimize platform for monthly cost predictions and to continuously optimize our Google Cloud activity.
Michi Kossowsky, CTO
Freightos receives hundreds of thousands of searches daily and generates quotes by searching through tens of millions of data points from more than 75 freight providers. The platform requires high-speed in-memory data access to run graph-search algorithms. Using App Engine flexible environments, Freightos gained access to 200 GB of routing data. BigQuery serves as the foundation of their analytics, enabling rapid queries of tremendous data volumes with minimal maintenance.
Freightos took a multiphased approach to re-architect its infrastructure, migrating from monolithic services to microservices on Google Kubernetes Engine. The new architecture includes Compute Engine, Pub/Sub, and Dataflow for the application pipeline, with Cloud SQL and Datastore providing operational storage. This transformation enabled easier scaling and deployment, with testing and production environments now identical.
Since switching to microservices using GKE, Freightos finds it easier to coordinate development teams across Barcelona, Jerusalem, and Ramallah. The ability to work together and collaborate closely has been transformative. G Suite supports team collaboration through real-time editing with Docs and meetings using Hangouts Meet, becoming central to how the company operates.
Freightos offers its platform software on a SaaS basis, allowing freight forwarders to quickly provide shipping rate quotes to customers. Using Apigee API Management Platform with Apigee developer portal, they export APIs for freight forwarder access. This approach makes it easy to export and expose APIs, encouraging adoption among customers.
Freightos is exploring Google Cloud machine learning tools for several applications. Potential use cases include automatically identifying and matching commodities to HS product classification codes, creating predictive transit time estimators based on past carrier performance, and analyzing seasonal and weather factors. Their goal is to become the number one freight marketplace while driving industry standardization.
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DoiT gave us the confidence to move from experimentation to production. They helped us understand the right way to build AI for the real world.
Milad Rezazadeh, CTO
PerfectScale by DoiT has become an important part of how we optimize Kubernetes at scale at OneFootball. It gives our platform team the visibility, automation, resiliency insights, and confidence we need to balance cost efficiency with production readiness, especially as we prepare for major global football moments like the 2026 FIFA World Cup.
Andrea Benfatto, Platform/Cloud Runtime Engineering Manager
Cloudflow's new RDS End of Life alerts have allowed us to be more proactive on keeping our database instances up-to-date. The new solution gives us internal visibility ahead of time so that we can prepare for upgrades, instead of having to upgrade under pressure while incurring extended support costs.
Jon Fairbanks, Site Reliability Engineering Manager
PerfectScale cut 40% off our total EKS spend, and the automations handle what used to take our team 20 hours a month. Now we spend that time on reliability and performance instead of chasing cost metrics.
Caio Cristo, Director of Infrastructure/SRE
What I really like about DoiT's approach is that you're very hands-on and proactive. Satyam would ping me a few times a sprint, letting me know about the most current features, checking in on how things are going. When we are going through a peak time, that proactiveness makes a real difference. Satyam always comes through whenever we need support and helps us leverage the right experts to get us where we need to be.
Chiamaka Ibeme, Engineering Manager, Platform
SELECT has made important cost data readily accessible. I will often pull it up during engineering design reviews so we can quickly evaluate cost impact and projections and factor that into our design decisions.
Douglas Zickuhr, Senior Data Platform Engineer at Personio
I love clicking through SELECT to understand how our environment and workloads are evolving. I probably check it every day. It's coffee and SELECT for me every morning.
Ian Fahey, Senior Analytics Engineer at Loop
You guys have the best UI experience that I've had of any software. It's like you just read my mind where, like, oh, I wish I could click there. Oh, I can
Diana Koshy, Sr. Director of Data Engineering at Kargo
SELECT feels like exactly what Paul and I would have built if we had locked ourselves in a room for 18 months to create our ideal monitoring solution.
Devin McGee, Data Engineering Lead at Home Chef
SELECT dramatically lowers the cognitive load to understanding Snowflake costs. I'm able to sit there and easily understand what's driving the cost. Not to blow smoke up your ass, but it's just so easy to do in your platform
Blake Baggett, Head of Data Operations at Entain
One of the most helpful cost rituals we've setup from SELECT is the weekly spend digest sent to Slack. I can start high level and ensure things are in check. If not, I can very quickly drill down into specific workloads which may have driven the cost spike and remediate them before they become a bigger issue.
Michael Revelo, Manager of data and analytics engineering at ClickUp
Through SELECT's automated savings feature and deep cost visibility, we were able to instantly lower our Snowflake spend by over 40% and achieve a 20X ROI on our SELECT investment.
Skyler Chi, SVP, GTM Productivity & Excellence at Exiger
Our costs had jumped up 3X as we scaled, so we're talking about 60% savings in Snowflake spend after adopting SELECT.
Edward Mancey, GTM Lead at Synthesia
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